Search Results - (( mobile evaluation force algorithm ) OR ( parameter reservation system algorithm ))
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CAGDEEP : Mobile malware analysis using force atlas 2 with strong gravity call graph and deep learning
Published 2023“…Our evaluation results demonstrate that CAGDeep can achieve 80% accuracy for detecting malware.…”
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Intelligent material handling mobile robot for industrial purpose with active force control capability
Published 2005“…A number of disturbances in the form of vibratory and impact forces are deliberately introduced into the system to evaluate the system performances. …”
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Monograph -
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Multicast-Based Mobile Ipv6 Join/Leave Mechanism Software
Published 2003“…The Internet Engineering Task Force (IETF) has standardized Mobile IPv4. Mobile IPv6 is a work in progress in the IETF, offering support for IPv6 mobile nodes. …”
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Characterization of PV panel and global optimization of its model parameters using genetic algorithm
Published 2023“…All rights reserved.…”
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Quality of service management algorithms in WiMAX networks
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Enhanced Ad Hoc On-Demand Distance Vector Routing Protocol For Mobile Ad Hoc Network Internet Connectivity
Published 2006“…The Internet Engineering Task Force (IEFT) currently has a working group called mobile Ad hoc network (MANET) that is working on routing specification for Ad hoc networks. …”
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Mobile Crowd Steering Evacuation Model via Agent Based Simulation by Applying the Social Force Model
Published 2025“…Simulation models can help policymakers evaluate evacuation plans by assessing their efficacy. …”
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Differential search algorithm in multi machine power system stabilizers for damping oscillations
Published 2023“…Power system oscillations, a major problem in power system, is suppressed employing power system stabilizers (PSSs). …”
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Research On Photovoltaic Mppt Control Method Based On Improved Bas Algorithm And Variable Step-Size Inc Method
Published 2024“…These methods differ greatly in terms of required parameters, algorithm complexity, tracking speed, tracking accuracy, hardware requirements, etc. …”
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An optimal LFC in two-area power systems using a meta-heuristic optimization algorithm
Published 2023“…In this study, an optimal meta-heuristic optimization algorithm for load frequency control (LFC) is utilized in two-area power systems. …”
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Optimization of Off-Centre bracing system using Genetic Algorithm
Published 2011“…In this paper, a method based on genetic algorithm is proposed for determining the optimum connection point with the highest lateral buckling load in the Off-Centre bracing system. …”
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Hardware-in-the-loop study of a hybrid active force control scheme of an upper-limb exoskeleton for passive stroke rehabilitation
Published 2018“…A hardware-in-the-loop simulation is carried out to evaluate the appropriate gains of both the PD and the AFC inertial parameter gained that is tuned via the SKF algorithm. …”
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Hardware-in-the-loop study of a hybrid active force control scheme of an upper-limb exoskeleton for passive stroke rehabilitation
Published 2018“…A hardware-in-the-loop simulation is carried out to evaluate the appropriate gains of both the PD and the AFC inertial parameter gained that is tuned via the SKF algorithm. …”
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Artificial intelligence techniques applied as estimator in chemical process systems - A literature survey
Published 2015“…However, the various types of AI methods available make it difficult to decide on the most suitable algorithm to be applied for any particular system. …”
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Node Participation Evaluation Scheme Based on Link Quality for Energy Efficient Routing in Ad-hoc Networks
Published 2016“…Energy conservation in ad hoc network is a very important design issue and has been attracting a lot of attention in recent years.The limited energy capacity of mobile computing devices has brought energy conservation to the forefront of concerns for enabling mobile communications. …”
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Affect classification using genetic-optimized ensembles of fuzzy ARTMAPs
Published 2015“…In this study, an attempt to create a framework for multi-layered optimization of an ensemble of classifiers to maximize the system's ability to learn and classify affect, and to minimize human involvement in setting optimum parameters for the classification system is proposed. …”
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